Nan Si
Impact in
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- Traditional Chinese Medicine Analysis
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
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- Natural product bioactivities and synthesis 5
- Metabolomics and Mass Spectrometry Studies 4
- Phytochemical Studies and Bioactivities 4
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- Traditional Chinese Medicine Analysis 7
- Co-authors
- Baolin Bian (53 shared papers)Haiyu Zhao (48 shared papers)Jian Yang (22 shared papers)Hongjie Wang (27 shared papers)Xiaolu Wei (28 shared papers)Yanyan Zhou (21 shared papers)Lingyu Han (13 shared papers)Wei Ren (8 shared papers)
In The Last Decade
Nan Si
55 papers receiving 925 citations
Peers
Comparison fields: 5 of 96
- Complementary and alternative medicine 134
- Pharmacology 124
- Biological Psychiatry 33
- Toxicology 48
- Biochemistry 52
Countries citing papers authored by Nan Si
This map shows the geographic impact of Nan Si's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nan Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Si more than expected).
Fields of papers citing papers by Nan Si
This network shows the impact of papers produced by Nan Si. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nan Si. The network helps show where Nan Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 64 | |
| 2 | 2021 | 61 | |
| 3 | 2012 | 59 | |
| 4 | 2017 | 52 | |
| 5 | 2016 | 36 | |
| 6 | 2018 | 35 | |
| 7 | 2013 | 34 | |
| 8 | 2017 | 34 | |
| 9 | 2019 | 33 | |
| 10 | 2018 | 33 | |
| 11 | 2023 | 30 | |
| 12 | 2015 | 28 | |
| 13 | 2014 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2016 | 25 | |
| 16 | 2015 | 24 | |
| 17 | 2012 | 23 | |
| 18 | 2021 | 22 | |
| 19 | 2020 | 19 | |
| 20 | 2019 | 19 |
About Nan Si
Nan Si is a scholar working on Molecular Biology, Complementary and alternative medicine, Plant Science, Pharmacology and Pharmacology, having authored 56 papers that have together received 934 indexed citations. Recurring topics across this work include Phytochemistry and Biological Activities (9 papers), Traditional Chinese Medicine Analysis (7 papers), Natural product bioactivities and synthesis (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Flavonoids in Medical Research (4 papers), Phytochemical Studies and Bioactivities (4 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Plant-based Medicinal Research (3 papers). The work is most often cited by research in Complementary and alternative medicine (134 citations), Pharmacology (124 citations), Biological Psychiatry (33 citations), Toxicology (48 citations) and Biochemistry (52 citations). Nan Si has collaborated with scholars based in China, Japan and Macao. Frequent co-authors include Baolin Bian, Haiyu Zhao, Jian Yang, Hongjie Wang, Xiaolu Wei, Yanyan Zhou, Lingyu Han, Wei Ren, Hongjie Wang and Bo Yuan. Their work appears in journals such as Journal of Ethnopharmacology, Phytomedicine, PLoS ONE, Rapid Communications in Mass Spectrometry and Journal of Separation Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.